Day 1: Customer Churn Prediction with XGBoost + SHAP | 28 Projects in 28 Days (AI for Business)
🚨 Project 1 of 28 in my “28 Projects in 28 Days” series — showing real-world AI/ML solutions that solve actual business problems.
In this video, we tackle Customer Churn Prediction using:
📦 XGBoost for accurate classification
📊 SHAP for explainability
🧼 Data preprocessing and one-hot encoding
✅ Evaluation using confusion matrix and classification report
The dataset is modeled after Telco/Subscription services (think Netflix, Spotify, banking apps). We build an end-to-end churn prediction pipeline using Python, scikit-learn, and SHAP.
💡 Use Case: Understand why customers are leaving and take action before they churn!
📁 Dataset: Telco Customer Churn (public sample data)
💻 Tech Used: Python, Pandas, Scikit-learn, XGBoost, SHAP, Seaborn
Github: https://github.com/mariamcs/Customer_Churn/
🔥 Subscribe and follow the entire challenge!
#28Projects28Days #ChurnPrediction #XGBoost #SHAP #DataScience #MachineLearning #AIforBusiness
Видео Day 1: Customer Churn Prediction with XGBoost + SHAP | 28 Projects in 28 Days (AI for Business) канала Maryam BeiSafar
In this video, we tackle Customer Churn Prediction using:
📦 XGBoost for accurate classification
📊 SHAP for explainability
🧼 Data preprocessing and one-hot encoding
✅ Evaluation using confusion matrix and classification report
The dataset is modeled after Telco/Subscription services (think Netflix, Spotify, banking apps). We build an end-to-end churn prediction pipeline using Python, scikit-learn, and SHAP.
💡 Use Case: Understand why customers are leaving and take action before they churn!
📁 Dataset: Telco Customer Churn (public sample data)
💻 Tech Used: Python, Pandas, Scikit-learn, XGBoost, SHAP, Seaborn
Github: https://github.com/mariamcs/Customer_Churn/
🔥 Subscribe and follow the entire challenge!
#28Projects28Days #ChurnPrediction #XGBoost #SHAP #DataScience #MachineLearning #AIforBusiness
Видео Day 1: Customer Churn Prediction with XGBoost + SHAP | 28 Projects in 28 Days (AI for Business) канала Maryam BeiSafar
customer churn prediction churn prediction model xgboost classification shap explainability machine learning tutorial telco churn dataset 28 projects in 28 days ai for business business ml projects xgboost python shap python scikit-learn tutorial python for data science data science portfolio project model explainability shap
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2 июля 2025 г. 8:32:03
00:10:11
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